{"id":"W1486049038","doi":"10.1111/j.1442-200x.2012.03591.x","title":"Diagnostic tools of metabolic and structural brain disturbances in neonatal non‐ketotic hyperglycinemia","year":2012,"lang":"en","type":"article","venue":"Pediatrics International","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"","keywords":"Hyperglycinemia; Medicine; Magnetic resonance imaging; Metabolic disease; Electroencephalography; Glycine; Endocrinology; Psychiatry; Genetics; Amino acid; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002990692,0.0004782127,0.0002412873,0.002003561,0.0001990683,0.0002866775,0.0003500368,0.0003983139,0.001141297],"category_scores_gemma":[0.001931068,0.00017996,0.000134967,0.0004498981,0.0003327315,0.0004050091,0.0004285901,0.0003577865,0.0002111764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002038032,"about_ca_system_score_gemma":0.0002978662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000982051,"about_ca_topic_score_gemma":0.0007159564,"domain_scores_codex":[0.9997461,0.00007041984,0.00004250529,0.00002544432,0.00006010005,0.00005540907],"domain_scores_gemma":[0.9995835,0.0001848113,0.0000792431,0.0000152852,0.00006138418,0.00007572558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008560528,0.0001519887,0.5363404,0.000523328,0.00005182885,0.2888739,0.0009257961,0.0008358806,0.08436633,0.001119855,0.001056555,0.084898],"study_design_scores_gemma":[0.00002973288,0.0004276288,0.4760817,0.0003230696,0.0001122639,0.4740358,0.002210615,0.003233782,0.03890059,0.001642959,0.00296567,0.00003625242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768489,0.007404916,0.005808658,0.0004101217,0.00005301713,0.00006738035,0.0002048482,0.0001289234,0.009073255],"genre_scores_gemma":[0.9939139,0.00274678,0.00277331,0.00007121026,0.00003041519,0.00002377843,0.0001050422,0.00000859724,0.0003268691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002003561,"threshold_uncertainty_score":0.003818035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006707965158277825,"score_gpt":0.251773207319214,"score_spread":0.2450652421609362,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}